public static interface AutoMLJobCompletionCriteria.Builder extends SdkPojo, CopyableBuilder<AutoMLJobCompletionCriteria.Builder,AutoMLJobCompletionCriteria>
| Modifier and Type | Method and Description |
|---|---|
AutoMLJobCompletionCriteria.Builder |
maxAutoMLJobRuntimeInSeconds(Integer maxAutoMLJobRuntimeInSeconds)
The maximum runtime, in seconds, an AutoML job has to complete.
|
AutoMLJobCompletionCriteria.Builder |
maxCandidates(Integer maxCandidates)
The maximum number of times a training job is allowed to run.
|
AutoMLJobCompletionCriteria.Builder |
maxRuntimePerTrainingJobInSeconds(Integer maxRuntimePerTrainingJobInSeconds)
The maximum time, in seconds, that each training job is allowed to run as part of a hyperparameter tuning
job.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildAutoMLJobCompletionCriteria.Builder maxCandidates(Integer maxCandidates)
The maximum number of times a training job is allowed to run.
maxCandidates - The maximum number of times a training job is allowed to run.AutoMLJobCompletionCriteria.Builder maxRuntimePerTrainingJobInSeconds(Integer maxRuntimePerTrainingJobInSeconds)
The maximum time, in seconds, that each training job is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.
maxRuntimePerTrainingJobInSeconds - The maximum time, in seconds, that each training job is allowed to run as part of a hyperparameter
tuning job. For more information, see the used by the action.AutoMLJobCompletionCriteria.Builder maxAutoMLJobRuntimeInSeconds(Integer maxAutoMLJobRuntimeInSeconds)
The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.
maxAutoMLJobRuntimeInSeconds - The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.
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